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Data Science

(UOP-DSC510.AB1)
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1

Introduction to Business Intelligence, Data Anal...rtificial Intelligence and Business Applications

  • Opening Vignette: How Intelligent Systems Work for KONE Elevators and Escalators Company
  • Changing Business Environments and Evolving Needs for Decision Support and Analytics
  • Decision-Making Processes and Computerized Decision Support Framework
  • Evolution of Computerized Decision Support to Business Intelligence/Analytics/Data Science
  • Analytics Overview
  • Analytics Examples in Selected Domains
  • Artificial Intelligence Overview
  • Convergence of Analytics and AI
  • Overview of the Analytics Ecosystem
  • Opening Vignette: INRIX Solves Transportation Problems
  • Introduction to Artificial Intelligence
  • Human and Computer Intelligence
  • Major AI Technologies and Some Derivatives
  • AI Support for Decision Making
  • AI Applications in Accounting
  • AI Applications in Financial Services
  • AI in Human Resource Management (HRM)
  • AI in Marketing, Advertising, and CRM
  • AI Applications in Production-Operation Management (POM)
  • Questions for Discussion
  • Exercises
2

Nature of Data, Statistical Modeling, and Visualization

  • Opening Vignette: SiriusXM Attracts and Engages ...on of Radio Consumers with Data-Driven Marketing
  • Nature of Data
  • Simple Taxonomy of Data
  • Art and Science of Data Preprocessing
  • Statistical Modeling for Business Analytics
  • Regression Modeling for Inferential Statistics
  • Business Reporting
  • Data Visualization
  • Different Types of Charts and Graphs
  • Emergence of Visual Analytics
  • Information Dashboards
  • Questions for Discussion
  • Exercises
3

Data Mining Process, Methods, and Algorithms

  • Opening Vignette: Miami-Dade Police Department I... Predictive Analytics to Foresee and Fight Crime
  • Data Mining Concepts
  • Data Mining Applications
  • Data Mining Process
  • Data Mining Methods
  • Data Mining Software Tools
  • Data Mining Privacy Issues, Myths, and Blunders
  • Questions for Discussion
  • Exercises
4

Machine-Learning Techniques for Predictive Analytics

  • Opening Vignette: Predictive Modeling Helps Better Understand and Manage Complex Medical Procedures
  • Basic Concepts of Neural Networks
  • Neural Network Architectures
  • Support Vector Machines
  • Process-Based Approach to the Use of SVM
  • Nearest Neighbor Method for Prediction
  • Naïve Bayes Method for Classification
  • Bayesian Networks
  • Ensemble Modeling
  • Questions for Discussion
  • Exercises
5

Deep Learning and Cognitive Computing

  • Opening Vignette: Fighting Fraud with Deep Learning and Artificial Intelligence
  • Introduction to Deep Learning
  • Basics of “Shallow” Neural Networks
  • Process of Developing Neural Network–Based Systems
  • Illuminating the Black Box of ANN
  • Deep Neural Networks
  • Convolutional Neural Networks
  • Recurrent Networks and Long Short-Term Memory Networks
  • Computer Frameworks for Implementation of Deep Learning
  • Cognitive Computing
  • Questions for Discussion
  • Exercises
6

Text Mining, Sentiment, Social, and Prescriptive Analysis

  • Opening Vignette: Amadori Group Converts Consumer Sentiments into Near-Real-Time Sales
  • Text Analytics and Text Mining Overview
  • Natural Language Processing (NLP)
  • Text Mining Applications
  • Text Mining Process
  • Sentiment Analysis
  • Web Mining Overview
  • Search Engines
  • Web Usage Mining (Web Analytics)
  • Social Analytics
  • Opening Vignette: School District of Philadelphi...ptimal Solution for Awarding Bus Route Contracts
  • Model-Based Decision Making
  • Structure of Mathematical Models for Decision Support
  • Certainty, Uncertainty, and Risk
  • Decision Modeling with Spreadsheets
  • Mathematical Programming Optimization
  • Multiple Goals, Sensitivity Analysis, What-If Analysis, and Goal Seeking
  • Decision Analysis with Decision Tables and Decision Trees
  • Introduction to Simulation
  • Visual Interactive Simulation
  • Questions for Discussion
  • Exercises

1

Introduction to Business Intelligence, Data Anal...rtificial Intelligence and Business Applications

  • Identifying Decision Types
  • Identifying Phases Involved in Decision Making
  • Understanding Business Intelligence
  • Using AI in Plant Cover Estimation
  • Using AI in Airport Security
  • Understanding Artificial Intelligence
  • Understanding AI Technologies
  • Using AI in Accounting
  • Using AI in HRM
  • Using Teradata Warehouse Miner
2

Data Mining Process, Methods, and Algorithms

  • Learning Data Mining Patterns
  • Identifying Tasks Involved in Data Mining Methods
  • Understanding Data Mining in Cancer Research
  • Using Predictive Analytics
  • Learning Data Mining Algorithms, Processes, and Methods
3

Machine-Learning Techniques for Predictive Analytics

  • Identifying Activities Involved in an SVM Model
4

Deep Learning and Cognitive Computing

  • Identifying Industries Involved in Cognitive Computing and AI
5

Text Mining, Sentiment, Social, and Prescriptive Analysis

  • Understanding Natural Language Processing
  • Understanding Visual Interaction Simulation

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